Citation: Kang, S.; Loader, N.J.;
Wang, J.; Qin, C.; Liu, J.; Song, M.
Tree-Ring Stable Carbon Isotope as a
Proxy for Hydroclimate Variations in
Semi-Arid Regions of North-Central
China. Forests 2022, 13, 492.
https://doi.org/10.3390/f13040492
Academic Editor:
Ignacio García-González
Received: 29 January 2022
Accepted: 20 March 2022
Published: 22 March 2022
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Article
Tree-Ring Stable Carbon Isotope as a Proxy for Hydroclimate
Variations in Semi-Arid Regions of North-Central China
Shuyuan Kang
1
, Neil J. Loader
2
, Jianglin Wang
1,
* , Chun Qin
1
, Jingjing Liu
1
and Miao Song
3
1
Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources,
Chinese Academy of Sciences, Lanzhou 730000, China; kangshuyuan@lzb.ac.cn (S.K.);
qinchun@lzb.ac.cn (C.Q.); liujj@lzb.ac.cn (J.L.)
2
Department of Geography, Swansea University, Singleton Park, Swansea SA2 8PP, UK;
n.j.loader@swansea.ac.uk
3
College of Water Conservancy and Hydropower Engineering, Gansu Agricultural University,
Lanzhou 730070, China; songmiao@lzb.ac.cn
* Correspondence: wangjianglin2011@lzb.ac.cn
Abstract: Carbon and oxygen isotope ratios (δ
13
C and δ
18
O) were measured in annual tree-ring
cellulose samples dated from 1756 to 2015 CE. These samples were extracted from Chinese pine
(Pinus tabulaeformis Carr.) trees located in a semi-arid region of north-central China. We found that
tree-ring δ
13
C and δ
18
O values both recorded similar climatic signals (e.g., temperature and moisture
changes), but found that tree-ring δ
13
C exhibited a stronger relationship with mean temperature,
precipitation, average relative humidity, self-calibrating Palmer drought severity index (scPDSI), and
standard precipitation evaporation index (SPEI) than δ
18
O during the period 1951–2015 CE. The
strongest correlation observed was between tree-ring δ
13
C and scPDSI (previous June to current May),
which explains ~43% of the variance. The resulting 130-year reconstruction reveals severe drought
events in the 1920s and a sustained drying trend since the 1980s. This hydroclimate record based on
tree-ring δ
13
C data also reveals similar dry and wet events to other proxy data (i.e., tree-ring width
and historical documentation) that have allowed reconstructions to be made across the northern
fringe of the Asian summer monsoon region. Our results suggest that both large-scale modes of
climate variability (e.g., El Niño-Southern Oscillation, Pacific Decadal Oscillation, and North Atlantic
Oscillation) and external forcing (e.g., solar variability) may have modulated moisture variability in
this region. Our results imply that the relationship between tree-ring δ
18
O and local climate is less
well-characterized when compared to δ
13
C and may be affected more strongly by the influences of
these different atmospheric circulation patterns. In this semi-arid region, tree-ring δ
13
C appears to
represent a better tool with which to investigate historical moisture changes (scPDSI).
Keywords: carbon isotope; oxygen isotope; Chinese pine; hydroclimate; north-central China
1. Introduction
Recent changes in the distribution of precipitation along the northern fringe of the
Asian summer monsoon (ASM) region in north-central China are believed to have been
influenced by the changing intensity of the Asian monsoon and westerly atmospheric
circulation patterns in the semi-arid zone [1]. The Ha Si Mountain (HSM) nature reserve
is located at the northern edge of the ASM and on the boundary of several semi-arid
regions. The HSM is bordered to the north by the Tengger Desert, to the southeast by
the Yellow River, and to the west by the north-eastern Tibetan Plateau. This unique
geographical position makes the HSM one of China’s most important water conservation
regions. The western and southern part of the HSM is influenced by a westerly wind and
the ASM system, respectively. Therefore, changes to hydroclimate have important effects on
agriculture and the economy in this region. Severe drought events in the past millennium
have occurred over different timescales and have had negative socio-economic impacts on
Forests 2022, 13, 492. https://doi.org/10.3390/f13040492 https://www.mdpi.com/journal/forests